The use and significance of Artificial Intelligence (AI) are widely discussed across various fields, including business and science. AI, a key branch of computer science, enables algorithms to perform tasks that traditionally require human intelligence, such as machine learning, deep learning, and decision-making. AI applications span numerous industries, with Supply Chain Management (SCM) being a particularly relevant domain. AI technologies optimize supply chains by improving inventory planning, demand forecasting, and overall operational efficiency. This includes the planning, management, and control of goods, information, and financial flows along the entire supply chain. An empirical survey of AI use cases in SCM highlights demand forecasting, supply chain traceability and quality management, and inventory management as the most widely accepted and impactful applications.

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Artificial Intelligence Application Scenarios Considering Objective and Subjective Influence Factors for Industrial Solutions in Supply Chain Management

  • Karl-Heinz Lüke,
  • Gerald Eichler,
  • Denis Royer

摘要

The use and significance of Artificial Intelligence (AI) are widely discussed across various fields, including business and science. AI, a key branch of computer science, enables algorithms to perform tasks that traditionally require human intelligence, such as machine learning, deep learning, and decision-making. AI applications span numerous industries, with Supply Chain Management (SCM) being a particularly relevant domain. AI technologies optimize supply chains by improving inventory planning, demand forecasting, and overall operational efficiency. This includes the planning, management, and control of goods, information, and financial flows along the entire supply chain. An empirical survey of AI use cases in SCM highlights demand forecasting, supply chain traceability and quality management, and inventory management as the most widely accepted and impactful applications.